L.13- Ray Diagrams

Optical Systems: Objects and Images Discussion

Overview of Real and Virtual Objects and Images

  • Real Objects vs. Virtual Objects:

    • Real objects emit diverging light, resulting in negative vergence.

    • Virtual objects result from converging light entering the optical system, indicating a real object was positioned elsewhere.

Light Behavior in Optical Systems

  • Light entering can be diverging or converging.

  • Diverging Light:

    • Emitted from real objects.

    • Denoted by negative vergence.

    • Variables:

    • Capital U (Light entering the system) = -

    • Object distance (u) = -

    • Real objects are positioned on the left side (negative side) of optical diagrams.

  • Converging Light:

    • Associated with virtual objects.

    • Denoted by positive vergence.

    • Variables:

    • Capital U (Light entering the system) = +

    • Object distance (u) = +

    • Virtual objects are positioned on the right side (positive side) of diagrams.

Definitions and Important Concepts

  • Image Formation:

    • A real image can be projected onto a screen, formed by converging light, always located on the right side of the optical system, corresponding to positive values of image distance (v).

    • A virtual image cannot be projected onto a screen, resulting from diverging light, with negative values of image distance (v), found on the left side.

  • Vergence Relationships:

    • Formula linking vergence entering and exiting the optical system:

    • U + D = B where:

      • U = vergence of light entering the optical system.

      • D = power of the optical system.

      • B = vergence of light exiting the optical system.

  • Lens Formula:

    • \frac{n1}{u} + v = \frac{n2}{v}

    • Where:

    • n1 = index of refraction on the left side.

    • n2 = index of refraction on the right side.

    • u = object distance.

    • v = image distance.

    • Signs are crucial: left = negative, right = positive.

Cardinal Points of Optical Systems

  • Primary Focal Point (F1):

    • Light traveling through [F_1] gets refracted and exits parallel to the optical axis.

    • To find: F1 = -\frac{n1}{D}

  • Secondary Focal Point (F2):

    • Light arriving parallel to the optical system exits through [F_2].

    • To find: F2 = \frac{n2}{D}

  • Nodal Point (N):

    • Center of curvature.

    • For thin lenses, it's located at the intersection of the lens with the optical axis.

Ray Tracing Techniques

  • When tracing rays:

    1. Draw the optical axis and lens.

    2. Identify cardinal points (F1, F2, N).

    3. Draw three predictable rays:

    • Nodal Ray: passes straight through the nodal point (N).

    • Ray through F1: converges after reaching lens.

    • Ray parallel to optical axis: through F2 and continues onward.

Determining Image Characteristics
  • From ray intersection points:

    • If rays converge on the right, the image is real and inverted.

    • If rays diverge and traced backwards lead to the left, the image is virtual and upright.

Example Calculations and Scenarios

  • Example: Convex lens with real object:

    • If an object is 50cm from a +4 D lens, find Focal Points:

    • F1 Calculation: [F_1 = -\frac{1}{4} = -0.25 m]

    • F2 Calculation: [F_2 = \frac{1.5}{4} = 0.375 m]

    • Use ray diagrams to determine image distance (v) and magnification (M).

  • Example: Virtual object and convex lens:

    • Determine if virtual images form in different configurations (real object closer than focal length).

Complex Scenarios with Concave Lenses

  • Concave lenses reverse positions of focal points.

  • Calculate image characteristics using similar principles and techniques applied above.

Practical Applications
  • Understanding the principles helps in various optical technologies, from lenses to cameras and eyewear.

Mathematical Relationships in Image Formation
  • Magnification (M) formula:

    • M = \frac{u}{v}

    • Interpret signs: positive = upright, negative = inverted.

Conclusion

  • Mastering ray tracing and understanding object-image relationships enhances comprehension of optics for practical use in real-world applications.